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This book includes papers presented at ESCAPE-10, the 10th European Symposium on Computer Aided Process -Engineering, held in Florence, Italy, 7-10th May, 2000. The scientific program reflected two complementary strategic objectives of the 'Computer Aided Process Engineering' (CAPE) Working Party: one checked the status of historically consolidated topics by means of their industrial application and their emerging issues, while the other was addressed to opening new windows to the CAPE audience by inviting adjacent Working Parties to co-operate in the creation of the t
Chemical process control --- Computer integrated manufacturing systems --- Process control --- Data processing
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Chemical process control --- Injection molding of plastics --- Plastics --- Statistical methods --- Extrusion
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This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sen
Chemical process control --- Automatic data collection systems. --- Error analysis (Mathematics) --- Automation. --- Data processing. --- Measurement. --- Error --- Process control
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Petroleum --- Chemical process control --- Nonlinear control theory --- Pétrole --- Procédés chimiques, Contrôle de --- Commande non linéaire --- Refining --- Raffinage
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Computer techniques have made online measurements available at every sampling period in a chemical process. However, measurement errors are introduced that require suitable techniques for data reconciliation and improvements in accuracy. Reconciliation of process data and reliable monitoring are essential to decisions about possible system modifications (optimization and control procedures), analysis of equipment performance, design of the monitoring system itself, and general management planning. While the reconciliation of the process data has been studied for more than 20 years, there is no
Chemical process control --- Automatic data collection systems. --- Error analysis (Mathematics) --- Automation. --- Errors, Theory of --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Automation --- Communication in management --- Data transmission systems --- Data processing --- Data processing. --- Computerized process control
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This book defines environmental reaction engineering principles, including reactor design, for the development of processes that provide an environmental benefit. With regard to pollution prevention, the focus is primarily on new reaction and reactor technologies that minimize the production of undesirable side-products (pollutants), but the use of reaction engineering as a means of treating wastes that are produced through other means is also considered. First is a section on environmentally benign combustion. The three papers discuss methods of reducing the formation of PAHs and NOx
Chemical process control --- Pollution. --- Chemical pollution --- Chemicals --- Contamination of environment --- Environmental pollution --- Pollution --- Contamination (Technology) --- Asbestos abatement --- Bioremediation --- Environmental engineering --- Environmental quality --- Factory and trade waste --- Hazardous waste site remediation --- Hazardous wastes --- In situ remediation --- Lead abatement --- Pollutants --- Refuse and refuse disposal --- Process control --- Environmental aspects. --- Environmental aspects
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This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sen
Chemical process control --- Automatic data collection systems. --- Error analysis (Mathematics) --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Automation. --- Data processing --- Measurement. --- Data processing. --- Error --- Process control
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